As part of the pioneering Integrated Medicine Program (ICM) currently running in the CRUK Cambridge Centre, we aim to recruit a research associate to be part of an ambitious project that will integrate in real time multiple data sources from different cancer types with the goal to achieve better clinical treatment decisions.
Specifically, the successful candidate will work with datasets from whole genome sequencing (WGS), whole transcriptome sequencing (RNA-SEQ) and image analysis from breast cancer tumours. He/she will design procedures to extract the most relevant information from these datasets, develop statistical models for data integration and design visualization tools to summarise the tumour status at diagnosis. Other data sources, like ctDNA or sequential images will need to be incorporated to produce information for monitoring treatment response, and information from patient-derived tumour xenografts (PDTXs) avatars will be integrated to offer therapeutic options in the case of metastatic disease.
This project will require the development of novel statistical methods, therefore we are looking for a candidate with a PhD in Statistics, Computational Biology or a related discipline. The work will be carried out within a multidisciplinary laboratory that includes genomic, biological, computational and clinical scientists. Teamwork and ability to communicate ideas and results is required. Advanced knowledge of R is also needed.
The position will be integrated in the Caldas Laboratory at the CRUK Cambridge Institute (CRUK-CI).
As mentioned above, this post-doctoral position will be part of the Integrated Cancer Medicine (ICM) programme. The overarching objective of ICM in conjunction with is to deliver a revolutionary new treatment paradigm for cancer patients. This concept envisages the integration of clinical, laboratory, mathematical and computational science and technology to the point where all patient data is used maximally to guide optimal treatment decisions. The ICM leverages our expertise in cancer genomics, ‘liquid biopsies’ (detecting tumour DNA in the blood), molecular imaging and 3D tumour mapping to generate Data Streams that simultaneously report the functional biology of tumours among cancer patients receiving active treatment. These data will then be integrated using innovative Cambridge-invented mathematics and statistical algorithms with the goal of charting precision medicine approaches for all patients.
Fixed-term: The funds for this post are available for 2 years in the first instance.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a security check.
To apply online for this vacancy, please click on the ‘Apply’ button below. This will route you to the University’s Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
The closing date is 20th January 2019, with the interview date to be confirmed.
Please ensure that you upload a covering letter and CV in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.
Please quote reference SW17767 on your application and in any correspondence about this vacancy.
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